Pay
$154K–$226K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,007 postings in the last year. Stated ranges, not salaries paid.
Data Science Vice President - Card Data Analytics
Wilmington, DE, United States
Open 4 months, first seen by us 130 days ago- Pay
- Pay not listedSimilar roles state $154K–$226K
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingIdentify use cases for big data analytics, including foundation models and Generative AI
Drive data science and analytics strategy and recommendations on analytical standards
Help partners define business problems and scope analytical solutions
Research, build, and evaluate analytical and Generative AI models
Communicate findings and obstacles to stakeholders to drive delivery to market
From the employer’s posting
uncover novel use cases of Big Data analytics, including opportunities to responsibly apply foundation models and Generative AI
Drive data science and analytics strategies, including recommendations on analytical products and standards
Help partners define business problems and scope analytical solutions
Research, design, implement, and evaluate analytical approaches and models, including Generative AI-based methods
Communicate findings and obstacles to stakeholders to drive delivery to market
Education & alternatives
- Formal training or certification on software engineering concepts and 5+ years applied experience - Bachelor’s degree in a relevant quantitative field and 5+ years of data analytics experience, or advanced degree and 2+ years of experience - Exceptional analytical, quantitative, problem-solving, and communication skills
- Financial services background - Master of Science degree or equivalent
Posting record
Report an errorOpen 4 monthsWe first saw this posting 130 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jul 1, 2026130 days ago
- Recorded sightings
- 263
- Last seen by us
- Nov 8, 2026
- Employer says posted
- May 7, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 130
Up longer than most. Similar jobs usually come down between day 7 and day 55.
Well past JPMorgan Chase’s usual: its jobs come down by about day 15.
From 8,398 similar postings that came down, and 933 of JPMorgan Chase’s. Coming down is not always a hire.
JPMorgan Chase is hiring
379 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Leadership hiring is steady
- Takes jobs down at a usual pace
- 3% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- R
- SAS
- SQL
- Hadoop
- Hive
- Spark
- Tableau
Where the posting names them
- Leadership and collaboration skills - Knowledge of statistical software (for example, Python, R, SAS) and data querying languages (for example, SQL) - Familiarity with Generative AI and prompt engineering basics (prompt design, evaluation, guardrails)
- Familiarity with Generative AI and prompt engineering basics (prompt design, evaluation, guardrails) - Experience with modern analytics tools (for example, SAS, SQL, Hive, Hadoop, Spark, Python, Tableau, Alteryx) - Ability to convey complex information to technical and non-technical audiences
Your next step
Complete your application on jpmc.fa.oraclecloud.com. The employer’s form will show what is required.
Applying through Oracle Recruiting
- Applying starts by asking for your email address.
- Each employer sets which files it accepts, so read the note beside the upload field.
Already applied? Track this application
About JPMorgan Chase
- People
- About 318,512 in 2025.Annual report (SEC Form 10-K)
- Company
- Listed as JPM.
- Layoff notices
- Notices this year and last cover 152 people. The latest was filed March 23, 2026.State WARN notices
Demand for Data Leadership roles
New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
- Median yearly pay, May 2025
- $175,140
- Expected change, 2025 to 2035
- 15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Job description
You can help shape how data and AI drive decisions across our Credit Card business. You will work on high-impact problems end-to-end—translating business questions into analytical approaches, building models and solutions, and communicating insights that influence strategy and outcomes. Join a collaborative team where your work can directly improve customer and business experiences through responsible, scalable analytics.
As a Data Science Vice President at JPMorganChase within the Card Data & Analytics team, you will develop analytics and AI/ML solutions that support strategic initiatives and measurable business impact. You will partner across the Card organization to define problems, scope solutions, and deliver high-quality analytical products. You will combine consulting, data science, and programming to drive data science and analytics strategies and deliver actionable insights.
Job responsibilities
- Leverage experience and analytical skills to uncover novel use cases of Big Data analytics, including opportunities to responsibly apply foundation models and Generative AI
- Drive data science and analytics strategies, including recommendations on analytical products and standards
- Help partners define business problems and scope analytical solutions
- Build an understanding of problem domains and available data assets
- Research, design, implement, and evaluate analytical approaches and models, including Generative AI-based methods
- Perform exploratory statistics and data mining tasks on diverse datasets
- Communicate findings and obstacles to stakeholders to drive delivery to market
- Develop subject matter expertise in financial and operational domains
- Code solutions using strong programming skills
- Collaborate across teams to deliver the best solutions for clients
Required qualifications, capabilities and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Bachelor’s degree in a relevant quantitative field and 5+ years of data analytics experience, or advanced degree and 2+ years of experience
- Exceptional analytical, quantitative, problem-solving, and communication skills
- Intellectual curiosity for solving business problems
- Leadership and collaboration skills
- Knowledge of statistical software (for example, Python, R, SAS) and data querying languages (for example, SQL)
- Familiarity with Generative AI and prompt engineering basics (prompt design, evaluation, guardrails)
- Experience with modern analytics tools (for example, SAS, SQL, Hive, Hadoop, Spark, Python, Tableau, Alteryx)
- Ability to convey complex information to technical and non-technical audiences
Preferred qualifications, capabilities and skills
- Experience with large language model-enabled applications such as retrieval-augmented generation, classification or extraction from unstructured text, or agent-like workflows; exposure to evaluation methods for quality, cost, and latency
- Understanding of key drivers within the credit card profit and loss statement
- Financial services background
- Master of Science degree or equivalent
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Wilmington, DE, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.